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ORCIDRafael Pires de Lima
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2020 – today
- 2023
[j3]Rafael Pires de Lima
, Morteza Karimzadeh:
Model Ensemble With Dropout for Uncertainty Estimation in Sea Ice Segmentation Using Sentinel-1 SAR. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)- [c3]Rafael Pires de Lima, Behzad Vahedi, Morteza Karimzadeh:
Comparison of Cross-Entropy, Dice, and Focal Loss for Sea Ice Type Segmentation. IGARSS 2023: 145-148 - [c2]Morteza Karimzadeh, Rafael Pires de Lima:
Deep Learning on SAR Imagery: Transfer Learning Versus Randomly Initialized Weights. IGARSS 2023: 1983-1986 - [c1]Zhongying Wang, Rafael Pires de Lima, James L. Crooks, Elizabeth Anne Regan, Morteza Karimzadeh:
Increasing the Spatial Coverage of Atmospheric Aerosol Depth Measurements using Random Forest and Mean Filters. IGARSS 2023: 3928-3931 - [i3]Rafael Pires de Lima, Behzad Vahedi, Nick Hughes, Andrew P. Barrett, Walter N. Meier, Morteza Karimzadeh:
Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions. CoRR abs/2310.17122 (2023) - [i2]Morteza Karimzadeh, Rafael Pires de Lima:
Deep Learning on SAR Imagery: Transfer Learning Versus Randomly Initialized Weights. CoRR abs/2310.17126 (2023) - [i1]Rafael Pires de Lima, Behzad Vahedi, Morteza Karimzadeh:
Comparison of Cross-Entropy, Dice, and Focal Loss for Sea Ice Type Segmentation. CoRR abs/2310.17135 (2023) - 2020
- [j2]Rafael Pires de Lima, David Duarte, Charles D. Nicholson, Roger Slatt, Kurt J. Marfurt:
Petrographic microfacies classification with deep convolutional neural networks. Comput. Geosci. 142: 104481 (2020) - [j1]Rafael Pires de Lima, Kurt J. Marfurt:
Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer Learning Analysis. Remote. Sens. 12(1): 86 (2020)
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